PyPI page
Author:
Tiziano Citro
Summary:
HyperTorch is a library for hypergraph learning and benchmarking. It provides a standardized workflow for loading hypergraph datasets, training models, evaluating them under comparable settings, and reporting results.
Latest version:
0.1.13
Required dependencies:
fastjsonschema
|
huggingface-hub
|
lightning
|
numpy
|
pyg-lib
|
requests
|
torch
|
torch-cluster
|
torch-geometric
|
zstandard
Optional dependencies:
tensorboard
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